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Zhipu GLM-5.1 Launches with Long-Context Performance Surpassing Opus 4.6

Zhipu GLM-5.1 Launches with Long-Context Performance Surpassing Opus 4.6

May 22, 2026
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On April 10, Zhipu AI officially launched and open-sourced its new flagship model, GLM-5.1. The most significant breakthrough of this model is its capability for long-horizon task processing, establishing it as the world's first open-source model capable of working continuously for 8 hours.

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Core Breakthrough: From "Q&A" to "Autonomous Work"

The Zhipu AI team highlighted that the new benchmark for large models is no longer just about benchmark scores, but rather "how long they can work autonomously."

8-Hour Endurance: GLM-5.1 can work independently and continuously on a single task for over 8 hours. During this period, it autonomously plans, executes, identifies bottlenecks, and self-evolves, ultimately delivering production-ready results.

Top-Tier Coding Ability: In the SWE-bench Pro benchmark, which evaluates professional software engineering, GLM-5.1 became the first domestic model to surpass the leading overseas model, Opus4.6.

Exceptional Real-World Performance: In a programming test involving a massive data retrieval system, GLM-5.1 performed over 6,000 optimization operations, achieving a final speed six times faster than the previous best performance.

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Industry Shift: From "Price Wars" to "Performance Premium"

Alongside its performance leap, Zhipu AI's pricing strategy has also undergone a major shift.

Pricing Aligns with Global Leaders: Platform data indicates that GLM-5.1 increased its price by another 10%. Its pricing for coding scenarios has, for the first time, reached parity with the leading overseas provider, Anthropic.

Focusing on Commercial Value: Zhipu AI CEO Zhang Peng stated that prolonged low-price competition is unhealthy for the industry, and the price adjustment aims to restore AI's value to a reasonable range. Zhipu has already achieved global monetization, with its API business's Annual Recurring Revenue (ARR) growing 60-fold year-over-year.

Market Trend: Foundational Compute and Models Enter a "Price Increase" Phase

Since the start of 2026, China's AI industry has been collectively transitioning from "low-price volume play" to "value-based pricing."

Tencent Cloud: Announced a 5% price increase for its AI compute and container services.

Alibaba Cloud: Increased prices for AI compute-related products by 5% to 34%.

Baidu AI Cloud: Raised prices for related AI compute services by 5% to 30%.

Conclusion: The AGI Timeline

Industry consensus suggests a key metric for measuring Artificial General Intelligence (AGI) is the timeline for task completion. The time required for cutting-edge models to finish tasks is doubling every seven months. With GLM-5.1 introducing its "8-hour work mode," large models are formally evolving from question-answering chatbots into "virtual employees" capable of deep involvement in complex projects.

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